Ideas for AI in Education

Student Learning

These ideas focus on AI tools that support activities a student use themselves to develop their knowledge or skills.

Where AI Can Be Applied

Go back to our diagram to browse ideas on where AI can be used across the education system.

AI Ideas

We want to hear from you on what you think are the most promising ideas for AI that can help improve teaching and learning - you can vote by clicking the up arrow next to the idea. You can filter by 'What does it do?' and 'AI Tools' or search for keywords.
What is the issue? Solution What does it do? What kinds of AI tools can be used? Votes
Students do not have enough support to prepare well for examinations. Generate revision questions and provide adaptive platforms to support examination preparation. Personalisation Large Language Models, ML: Classification, ML: Clustering, ML: Dimensionality Reduction, ML: Regression, NLP: Generation, NLP: Text Classification
7
Large class sizes make marking written classroom assessments time-consuming and limit student feedback. AI can facilitate automatic marking of handwritten assessments and generation of personalised student feedback. Digitisation, Personalisation Large Language Models, Large Multi-Modal Models, ML: Classification, MM: Image2Text, NLP: Generation
4
Due to culture, displacement or Special Educational Needs or Disabilities (SEND), some students have difficulty understanding or interpreting images. Describe and explain images in accessible and contextually relevant terms. Content creation & adaptation, Enhancing educational experience, Inclusion CV: Image Classification, Large Multi-Modal Models, MM: Image2Text, NLP: Generation
6
Opportunities for collaborative work are limited because of large class sizes. AI can group children into their ability groups for Teaching at the Right Level (TaRL) and then AI models can analyse collaboration and guiding discussion through questioning and feedback to learners. Enhancing educational experience Audio: ASR, Audio: Classification, Audio: Text2Speech, Large Language Models, ML: Classification, ML: Clustering, ML: Dimensionality Reduction, ML: Regression, NLP: Generation
1
Learning resources are limited mainly to textbooks and other printed material, which is passive rather than interactive. Augmented reality tools to enhance the properties of existing learning resources. Enhancing educational experience CV: Depth, CV: Object, CV: Segmentation
-5
Long or dated texts can be inaccessible for students. AI can summarise learning content in an accessible format for students. Content creation & adaptation, Enhancing educational experience Large Language Models, NLP: Generation, NLP: Summarisation
17
Students often lack conversational discussions due to large classes and rote learning. AI Chatbots used by students as a talking partner to develop specific knowledge or skills. 1-2-1 support, Personalisation Audio: ASR, Audio: Text2Speech, Large Language Models, NLP: Conversational, NLP: Generation
14
Students often lack the necessary support for learning, due to large classes, absent teachers, or working parents. AI Chatbots respond to student questions about challenges with subject matter using voice or text. 1-2-1 support, Personalisation Audio: ASR, Audio: Text2Speech, Large Language Models, NLP: Generation, NLP: Question
21
Students with difficulty writing are unable to show their understanding in other curriculum areas. AI can transcribe/translate pupil speech to write their assignments. Inclusion Audio: ASR, NLP: Translation
7
In large classes, it is not possible for teachers to provide personalised feedback to all students. AI can provide individualised feedback on students' work. Personalisation Large Language Models, NLP: Generation, NLP: Summarisation, NLP: Text Classification
9
In large classes, it is not possible for teachers to provide adequately differentiated tasks to all students. AI can assess students' learning levels and then can generate tasks of appropriate challenge. Analytics, Personalisation Large Language Models, ML: Classification, ML: Clustering, ML: Dimensionality Reduction, NLP: Generation
74
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How We Have Categorised

AI Tools

AI Tool Categories • Definitions

While developing our AI ideas list we’ve also put together a list of the AI tools that might be used to solve the issues set out in each idea. The aim is to help us identify and prioritise what tech to develop and to understand the problems we want to solve.

See AI Tools List

What Does It Do?

Function • Purpose

Some of the AI applications are performing similar functions (even though serving different parts of the Teaching and Learning Framework). For example, AI chatbots could be used by teachers to support Teacher Learning, or by students to support Student Learning. We’ve put together eight functions that AI tools perform to solve the education issues identified. The aim is to help us group similar ideas together for ease of navigation.

See Functions List

Have We Missed Anything?

You can suggest AI ideas for inclusion on the platform – if you think we’ve missed something please add your suggestions using the form via the link below.

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